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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· Jul 1, 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreHost Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
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Sequoia Capital· Jun 24, 2026PodcastAn 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.
1:48:43ENCognitive Revolution "How AI Changes Everything"· May 1, 2026PodcastThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Host Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
2:25:10ENCognitive Revolution "How AI Changes Everything"· Jan 22, 2026PodcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilHost Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
1:32:38ENCognitive Revolution "How AI Changes Everything"· Dec 6, 2025PodcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelHost Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
1:55:12ENCognitive Revolution "How AI Changes Everything"· Nov 8, 2025Podcast28,000 Documents, a 3B Model, 22 People: The Technical Ledger of Catholic AIHost Nathan LabenzLongbeard CEO Matthew Harvey Sanders tells The Cognitive Revolution how a mission-driven team is aligning models to the Catholic magisterium — and why fine-tuning was not enough.
50:00ENSequoia Capital· Sep 2, 2025PodcastCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.
38:10ENCognitive Revolution "How AI Changes Everything"· Jul 16, 2025PodcastPlus Five for Format, Plus Ten if It CompilesHost Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
1:28:48ENCognitive Revolution "How AI Changes Everything"· Jul 10, 2025PodcastDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.Host Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
47:07ENSequoia Capital· Jul 8, 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
1:42:06ENCognitive Revolution "How AI Changes Everything"· Jul 8, 2025PodcastEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesHost Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
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Unsupervised Learning: With Jacob Effron· May 8, 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeHost Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 10, 2025Podcast · 2 speakersMercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.Host Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.
3:53:49ENCognitive Revolution "How AI Changes Everything"· Jan 3, 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oHost Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.
55:50ENUnsupervised Learning: With Jacob Effron· Dec 16, 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsHost Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
1:24:48ENCognitive Revolution "How AI Changes Everything"· Nov 23, 2024PodcastCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxHost Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.
1:04:54ENUnsupervised Learning: With Jacob Effron· Nov 12, 2024PodcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesHost Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.
38:28ENNo Priors: AI, Machine Learning, Tech, & Startups· Oct 8, 2024Podcast · 2 speakersHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Host Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
1:09:09ENCognitive Revolution "How AI Changes Everything"· Oct 2, 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkHost Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
1:51:00ENCognitive Revolution "How AI Changes Everything"· Aug 21, 2024PodcastStart With Ten Gold Examples: A Three-Step Playbook for AI AutomationHost Nathan LabenzThe day after OpenAI opened GPT-4o fine-tuning, Nathan Labenz unpacks a three-year method for choosing work, extracting tacit judgment, and raising model performance.
39:18ENSequoia Capital· Aug 13, 2024PodcastOpen and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.
36:20ENNo Priors: AI, Machine Learning, Tech, & Startups· Jun 6, 2024Podcast · 2 speakersA Hundred Million Tokens in Context Would Cost $10 Million. Tengyu Ma Runs the RAG MathHost Sarah Guo, Elad GilThe Stanford professor and Voyage AI founder argues that retrieval, not a giant context window, is how enterprises should manage private knowledge.
1:10:07ENCognitive Revolution "How AI Changes Everything"· Jun 6, 2024PodcastSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini FlashHost Nathan LabenzA former OpenAI developer-relations lead, now the product manager for Google AI Studio, walks through what Gemini 1.5 Flash actually changes for builders.
1:42:17ENCognitive Revolution "How AI Changes Everything"· Apr 20, 2024PodcastThe Cheapest Inference Provider Is the Most DangerousHost Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.Load moreShowing 24 of 48